Data Analyst - AI Services Supervisory Department (AISSD)
楽天グループ株式会社
- Python
- SQL
- Data Analysis
- R
- Data Science
- Data Utilization
- Data Engineering
- Data Analyst
- New Business Development
- Business analysis
- Business Consulting
- AI Services
- Analytical Research
- Strategic Analysis
- Executive Communication
- Business Process Designing
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Tokyo
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Over 10,000
Company Info
Rakuten Institute of Technology (RIT) is a core AI research institute in Rakuten, and has 6 strategic bases in Tokyo, Singapore, Boston, San Mateo, Bengaluru, and Paris. We conduct cutting-edge research in machine learning, deep learning, natural language processing, computer vision, knowledge discovery, and data mining, and have a dedicated AI research team that specializes in data mining, and optimization of user experiences and marketing effectiveness within the Rakuten Group. We conduct advanced research in machine learning and bandit algorithms, and conduct the forefront research of reinforcement learning and optimization of the bandit algorithm within the Rakuten Group.Job Summary
As a data analyst for the AI Services Supervisory Department (AISSD), you will work in one of Data Science Consulting Department (DSCD), Analytics Data Engineering Department (ADED), Merchandising and Advertisement Department (MAD), Catalog Management Department (CAMD), Data Science & Analytics Department (DSAD), or Conversational Experiences Department (CXD). You will be required to work on data analysis, business value creation, utilization of SQL, Python, R, strategic analysis, problem solving, teamwork, and more.Duties
As a data analyst for the AI Services Supervisory Department (AISSD), you will work with the data science-enabled data service provided by Rakuten Group. Specific tasks include data analysis consulting, data engineering, product management, advertising management, conversational experiences, and more. You will also be involved in creating valuable data insights, strategic analysis, problem solving, new business development, and planning data utilization methods.Login to see all information about offers.
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